Published February 5, 2024 | Version v3
Dataset Open

Validation and Benchmark Dataset for Discrete Element Method Simulations

Description

Verification and Benchmark Dataset for Discrete Element Method Simulations
v3 (05/02/2024)
Authors: Jose Salomon, Fernando Patino-Ramirez, Catherine O'Sullivan
https://doi.org/10.5281/zenodo.10160309
Contact: jjs19@ic.ac.uk
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Description of the repository:

This repository contains a collection of datafiles and scripts that can be employed to validate and benchmark new or existing DEM codes. 
Two validation cases/folders are considered "FCC_packing" and "Rolling_clump". The benchmark dataset is provided in the "Toyoura_sh" folder.
All datafiles and scripts are in the corresponding *.zip files. A detailed description of all cases can be found in the related article.

In each of these folders, two sub-folders can be found: (1)"Data" and (2)"Scripts". These folders contain:

1)"Data": contains the datafiles to perform the validation or benchmark. Two types of data/folders can be found here: "Raw" and "Filtered".
The "Raw" folder contains raw data only. The "Filtered" data contains the post-processed data employed to generate the plots found in the related article.
Plots in the related article can be reproduced by using the MATLAB files found in the corresponding data folder.

2)"Scripts": contains the LAMMPS scripts used to generate the data files contained in "Data".
Indications about how to run these scripts can be found in the "README.txt" file in each folder.

In order to reproduce the simulations of this repository, LAMMPS must be built including the "GRANULAR" and "RIGID" packages. Please check the README.txt files in each folder for details.

Files

FCC_packing.zip

Files (2.6 GB)

Name Size Download all
md5:251f6fdd8f990f916df8e2284d9d01b9
50.7 kB Preview Download
md5:8def30c3ab1b1a7be2540420bcd78b78
1.8 kB Preview Download
md5:c7bc714fa43417143cda5aef86455502
305.1 kB Preview Download
md5:57484032411eecfedadeda438f9e3e55
2.6 GB Preview Download

Additional details

Dates

Available
2023-11-29
Data Collection